Robust Foreground Segmentation from Color Video Sequences Using Background Subtraction with Multiple Thresholds(Videos)

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概要

• 論文の詳細を見る

• A new robust method to segment foreground regions from color video sequences using multiple thresholds and morphological processes is proposed. Background models are observed for a long time, and their mean and standard deviation are used for background subtraction. Shadow regions are eliminated using color components, and the final foreground silhouette is extracted by smoothing the boundaries of the foreground and eliminating errors in and outside the regions. Experimental results show that the proposed algorithm works very well in various background and foreground situations.

• 社団法人電子情報通信学会の論文
• 2006-11-17

著者

• Kitahara Itaru

  Graduate School of Systems and Information Engineering, University of Tsukuba.

• Kitahara Itaru

  Atr Knowledge Science Laboratories:univ. Of Tsukuba

• Kogure Kiyoshi

  Atr Knowledge Science Laboratories

• Toriyama Tomoji

  Atr Knowledge Sci. Lab. Kyoto‐fu Jpn

• SAKAMOTO Ryuuki

  ATR Knowledge Science Laboratories

• Kim Hansung

  ATR Knowledge Science Laboratories, Keihanna Science City

• Kim Hansung

  Atr Knowledge Science Laboratories Keihanna Science City

• Kogure Kiyoshi

  Atr Knowledge Sci. Lab. Kyoto‐fu Jpn

関連論文

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• Robust Foreground Segmentation from Color Video Sequences Using Background Subtraction with Multiple Thresholds(Videos)
• Noise Suppression Based on Multi-Model Compositions Using Multi-Pass Search with Multi-Label N-gram Models

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